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The evaluation of leaf area is required in several agronomic studies given their importance to assess the plant growth. The objective of this study was to use statistical models to estimate leaf area of five clonal varieties of coffee (Coffea canephora) from linear dimensions (length and width maximum). Were used in the studies five varieties of Coffea canephora Pierre ex Froehner: Emcapa 8111, Emcapa 8121 Emcapa 8131, Emcapa 8141 and at Incaper 8142. The results obtained in this study allow us to conclude that the linear model expresses the best estimate of leaf area. Among the different independent variables adopted, the product of length and greatest width (L.W) was found to be the greatest significance and higher coefficients of determination (R2). The regression equation that best expresses the estimated leaf area for the five clonal varieties is Ŷi = 0.6723 + 0.6779 xi, where xi represents the product of the greatest length and the greatest width of the leaves

Allometric model for estimating leaf area in clonal varieties of coffee (Coffea canephora)